Do speed bumps curb low-latency investment? Evidence from a laboratory market
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DOI: 10.1016/j.finmar.2020.100601
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Citations
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Cited by:
- Brice Corgnet & Mark DeSantis & Christoph Siemroth, 2023.
"Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach,"
Working Papers
2313, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
- Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2024. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," VfS Annual Conference 2024 (Berlin): Upcoming Labor Market Challenges 302411, Verein für Socialpolitik / German Economic Association.
- Corgnet, Brice & DeSantis, Mark & Siemroth, Christoph, 2023. "Algorithmic Trading, Price Efficiency and Welfare: An Experimental Approach," Economics Discussion Papers 36273, University of Essex, Department of Economics.
- Eric M. Aldrich & Daniel Friedman, 2023.
"Order Protection Through Delayed Messaging,"
Management Science, INFORMS, vol. 69(2), pages 774-790, February.
- Aldrich, Eric M. & Friedman, Daniel, 2017. "Order protection through delayed messaging," Discussion Papers, Research Professorship Market Design: Theory and Pragmatics SP II 2017-502, WZB Berlin Social Science Center.
- Aldrich, Eric M & Friedman, Daniel, 2019. "Order Protection through Delayed Messaging," Santa Cruz Department of Economics, Working Paper Series qt4938f518, Department of Economics, UC Santa Cruz.
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More about this item
Keywords
High-frequency trading; Experimental finance; Speed bumps; Trading technology;All these keywords.
JEL classification:
- C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
- G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
- G40 - Financial Economics - - Behavioral Finance - - - General
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